Markerless 3D motion capture for animal locomotion studies [PDF]
Biology Open, 2014 Obtaining quantitative data describing the movements of animals is an essential step in understanding their locomotor biology. Outside the laboratory, measuring animal locomotion often relies on video-based approaches and analysis is hampered because of ...
William Irvin Sellers, Eishi Hirasaki
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Reliability and Concurrent Validity of a Markerless, Single Camera, Portable 3D Motion Capture System for Assessment of Glenohumeral Mobility. [PDF]
International Journal of Sports Physical Therapy, 2023 # Introduction Recent technological advancements have enabled medical, sport, and fitness professionals to utilize digital tools that assist with conducting movement examinations and screenings.
Ofra Pottorf +3 more
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Evaluating 3D Human Motion Capture on Mobile Devices
Applied Sciences, 2022 Computer-vision-based frameworks enable markerless human motion capture on consumer-grade devices in real-time. They open up new possibilities for application, such as in the health and medical sector.
Lara Marie Reimer +3 more
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Comparison of Shoulder Range of Motion Quantified with Mobile Phone Video-Based Skeletal Tracking and 3D Motion Capture—Preliminary Study [PDF]
SensorsBackground: The accuracy of human pose tracking using smartphone camera (2D-pose) to quantify shoulder range of motion (RoM) is not determined. Methods: Twenty healthy individuals were recruited and performed shoulder abduction, adduction, flexion, or ...
Wolbert van den Hoorn +4 more
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Accuracy, Validity, and Reliability of Markerless Camera-Based 3D Motion Capture Systems versus Marker-Based 3D Motion Capture Systems in Gait Analysis: A Systematic Review and Meta-Analysis [PDF]
Sensors(1) Background: Marker-based 3D motion capture systems (MBS) are considered the gold standard in gait analysis. However, they have limitations for which markerless camera-based 3D motion capture systems (MCBS) could provide a solution.
Sofia Scataglini +5 more
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Applied Sciences, 2022 Background: This study tested the reliability of the 3D coordinates of human joint points obtained by using an AI motion capture system at a race walking scene.
Dongtao Zhang +3 more
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Mechanical Engineering Journal, 2023 In human motion capture systems, reflective markers attached to the body have been widely used to track motion using optical cameras. However, when the speed of motion increases, because the brightness and angle of view of the camera are limited, and the
Ayane KUSAFUKA +3 more
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A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking
Sensors, 2020 In 3D motion capture, multiple methods have been developed in order to optimize the quality of the captured data. While certain technologies, such as inertial measurement units (IMU), are mostly suitable for 3D orientation estimation at relatively high ...
Gia-Hoang Phan +5 more
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The accuracy of several pose estimation methods for 3D joint centre localisation
Scientific Reports, 2021 Human movement researchers are often restricted to laboratory environments and data capture techniques that are time and/or resource intensive. Markerless pose estimation algorithms show great potential to facilitate large scale movement studies ‘in the ...
Laurie Needham +6 more
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Early estimation model for 3D-discrete indian sign language recognition using graph matching
Journal of King Saud University: Computer and Information Sciences, 2021 Machine translation of sign language is a critical task of computer vision. In this work, we propose to use 3D motion capture technology for sign capture and graph matching for sign recognition.
E. Kiran Kumar +3 more
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